Christopher M. Sullivan

7.7k total citations · 1 hit paper
44 papers, 5.0k citations indexed

About

Christopher M. Sullivan is a scholar working on Plant Science, Molecular Biology and Ecology. According to data from OpenAlex, Christopher M. Sullivan has authored 44 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 16 papers in Molecular Biology and 7 papers in Ecology. Recurrent topics in Christopher M. Sullivan's work include Plant Molecular Biology Research (12 papers), Chromosomal and Genetic Variations (11 papers) and Animal Vocal Communication and Behavior (4 papers). Christopher M. Sullivan is often cited by papers focused on Plant Molecular Biology Research (12 papers), Chromosomal and Genetic Variations (11 papers) and Animal Vocal Communication and Behavior (4 papers). Christopher M. Sullivan collaborates with scholars based in United States, Germany and France. Christopher M. Sullivan's co-authors include James C. Carrington, Noah Fahlgren, Scott A. Givan, Elisabeth J. Chapman, Kristin D. Kasschau, Jason S. Cumbie, Miya D. Howell, Taiowa A. Montgomery, Sarah R. Grant and Atsushi Takeda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Christopher M. Sullivan

44 papers receiving 4.9k citations

Hit Papers

High-Throughput Sequencing of Arabidopsis microRNAs: Evid... 2007 2026 2013 2019 2007 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christopher M. Sullivan United States 27 3.9k 2.7k 314 278 203 44 5.0k
Stefan R. Henz Germany 19 3.0k 0.8× 3.3k 1.2× 62 0.2× 47 0.2× 180 0.9× 26 4.5k
Kenji K. Kojima Japan 26 2.0k 0.5× 2.3k 0.9× 92 0.3× 83 0.3× 291 1.4× 77 3.8k
Michael Regulski United States 24 987 0.3× 1.5k 0.6× 154 0.5× 53 0.2× 211 1.0× 34 2.4k
Daniel Zilberman United States 40 9.0k 2.3× 7.0k 2.7× 273 0.9× 266 1.0× 252 1.2× 46 11.7k
Todd P. Michael United States 48 4.4k 1.1× 3.9k 1.5× 67 0.2× 59 0.2× 584 2.9× 111 6.4k
Jan U. Lohmann Germany 43 8.9k 2.3× 8.3k 3.1× 81 0.3× 59 0.2× 130 0.6× 86 10.7k
M. Kathryn Barton United States 29 6.3k 1.6× 6.0k 2.3× 155 0.5× 21 0.1× 41 0.2× 38 7.4k
Julian M. Hibberd United Kingdom 45 4.8k 1.2× 5.3k 2.0× 29 0.1× 34 0.1× 328 1.6× 120 7.9k
Basten L. Snoek Netherlands 36 1.9k 0.5× 1.8k 0.7× 107 0.3× 25 0.1× 520 2.6× 104 4.2k

Countries citing papers authored by Christopher M. Sullivan

Since Specialization
Citations

This map shows the geographic impact of Christopher M. Sullivan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christopher M. Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher M. Sullivan more than expected).

Fields of papers citing papers by Christopher M. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher M. Sullivan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christopher M. Sullivan. The network helps show where Christopher M. Sullivan may publish in the future.

Co-authorship network of co-authors of Christopher M. Sullivan

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. Sullivan. A scholar is included among the top collaborators of Christopher M. Sullivan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christopher M. Sullivan. Christopher M. Sullivan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Appel, Cara L., et al.. (2025). Developing custom computer vision models with Njobvu‐AI: A collaborative, user‐friendly platform for ecological research. Ecological Applications. 35(6). e70096–e70096. 1 indexed citations
2.
Lesmeister, Damon B., et al.. (2023). PNW-Cnet v4: Automated species identification for passive acoustic monitoring. SoftwareX. 23. 101473–101473. 9 indexed citations
3.
Schmid, Moritz S., et al.. (2023). Edge computing at sea: high-throughput classification of in-situ plankton imagery for adaptive sampling. Frontiers in Marine Science. 10. 8 indexed citations
4.
Sullivan, Christopher M., et al.. (2021). A cost‐effective maize ear phenotyping platform enables rapid categorization and quantification of kernels. The Plant Journal. 106(2). 566–579. 26 indexed citations
5.
Dasgupta, Subham, et al.. (2021). Phenotypically Anchored mRNA and miRNA Expression Profiling in Zebrafish Reveals Flame Retardant Chemical Toxicity Networks. Frontiers in Cell and Developmental Biology. 9. 663032–663032. 14 indexed citations
6.
Afferden, Manfred van, et al.. (2021). Wastewater Treatment and Wood Production of Willow System in Cold Climate. Water. 13(12). 1630–1630. 5 indexed citations
7.
Levi, Taal, et al.. (2018). Tropical forests can maintain hyperdiversity because of enemies. Proceedings of the National Academy of Sciences. 116(2). 581–586. 45 indexed citations
8.
Filichkin, Sergei A., Michael Hamilton, Palitha Dharmawardhana, et al.. (2018). Abiotic Stresses Modulate Landscape of Poplar Transcriptome via Alternative Splicing, Differential Intron Retention, and Isoform Ratio Switching. Frontiers in Plant Science. 9. 5–5. 97 indexed citations
9.
Goodale, Britton C., Susan C. Tilton, Christopher M. Sullivan, et al.. (2015). Ligand-Specific Transcriptional Mechanisms Underlie Aryl Hydrocarbon Receptor-Mediated Developmental Toxicity of Oxygenated PAHs. Toxicological Sciences. 147(2). 397–411. 58 indexed citations
10.
Putman, Tim, et al.. (2015). Application of a nanoflare probe specific to a latency associated transcript for isolation of KHV latently infected cells. Virus Research. 208. 129–135. 16 indexed citations
11.
Fahlgren, Noah, Stephanie R. Bollmann, Kristin D. Kasschau, et al.. (2013). Phytophthora Have Distinct Endogenous Small RNA Populations That Include Short Interfering and microRNAs. PLoS ONE. 8(10). e77181–e77181. 53 indexed citations
12.
Zhang, Chi, Taiowa A. Montgomery, Sylvia E. J. Fischer, et al.. (2012). The Caenorhabditis elegans RDE-10/RDE-11 Complex Regulates RNAi by Promoting Secondary siRNA Amplification. Current Biology. 22(10). 881–890. 48 indexed citations
13.
Cuperus, Josh T., Alberto Carbonell, Noah Fahlgren, et al.. (2010). Unique functionality of 22-nt miRNAs in triggering RDR6-dependent siRNA biogenesis from target transcripts in Arabidopsis. Nature Structural & Molecular Biology. 17(8). 997–1003. 344 indexed citations
14.
Fahlgren, Noah, Christopher M. Sullivan, Kristin D. Kasschau, et al.. (2009). Computational and analytical framework for small RNA profiling by high-throughput sequencing. RNA. 15(5). 992–1002. 101 indexed citations
15.
Montgomery, Taiowa A., Seong Jeon Yoo, Noah Fahlgren, et al.. (2008). AGO1-miR173 complex initiates phased siRNA formation in plants. Proceedings of the National Academy of Sciences. 105(51). 20055–20062. 154 indexed citations
16.
Michael, Todd P., Todd C. Mockler, Ghislaı̀n Breton, et al.. (2008). Network Discovery Pipeline Elucidates Conserved Time-of-Day–Specific cis-Regulatory Modules. PLoS Genetics. 4(2). e14–e14. 420 indexed citations
17.
Kasschau, Kristin D., Noah Fahlgren, Elisabeth J. Chapman, et al.. (2007). Genome-Wide Profiling and Analysis of Arabidopsis siRNAs. PLoS Biology. 5(3). e57–e57. 409 indexed citations
18.
Givan, Scott A., Christopher M. Sullivan, & James C. Carrington. (2007). The Personal Sequence Database: a suite of tools to create and maintain web-accessible sequence databases. BMC Bioinformatics. 8(1). 479–479. 2 indexed citations
19.
Fahlgren, Noah, Miya D. Howell, Kristin D. Kasschau, et al.. (2007). High-Throughput Sequencing of Arabidopsis microRNAs: Evidence for Frequent Birth and Death of MIRNA Genes. PLoS ONE. 2(2). e219–e219. 977 indexed citations breakdown →
20.
Sullivan, Christopher M., et al.. (1996). Separating the Effects of Alertness from the Effects of Encoding in a Pitch-Imagery Task. The Journal of General Psychology. 123(2). 105–114. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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